Description: 数字图像处理中的基本边缘检测算法的实现，包括Robert、Sobel、Prewitt、Kirsch等边缘检测算子的实现，还包括用Hough变换检测直线。-Digital image processing in the basic edge detection algorithm, including Robert, Sobel, Prewitt, Kirsch edge detection operator such as the realization, but also a straight line detection using Hough transform. Platform: |
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Author:caonimabitoo |
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Description: 基于hough变换的直线检测（—）。前面的可能是充数的（5个耶，不是所有程序我都有版权的，呵呵）。这个绝对有版权，我的课程设计，拿专业第一名的，站长认真看。看完这些废话可以帮我删了。
lena图，hough变换的前期处理工作，涉及到图像增强，锐化，滤波，二值化等技术，附有算法的详细说明，和使用的各种算子。-Hough transform based line detection (-). In front of the number may be necessary and sufficient (5 Allyes, not all programs are copyright of me, huh, huh). This absolutely has the copyright, my curriculum design, get a professional first, and look seriously station. Having read these nonsense can help me delete the. lena map, hough transform pre-processing involves image enhancement, sharpening, filtering, binarization techniques, with a detailed description of algorithms, and use a variety of operator. Platform: |
Size: 202752 |
Author:刘涛 |
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Description: Hough变换检测直线，阈值选取对图像灰度化处理，以及空间类聚法，松弛迭代算法-Hough transform detection of a straight line, threshold selection of image processing, as well as space-type polymerization, relaxation iterative algorithm Platform: |
Size: 131072 |
Author:王政博 |
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Description: C\C++图像处理基本处理算法的实现，画点、线、边缘检测等等，希望对大家有帮助-C \ C++ image processing algorithms to deal with the realization of the basic painting point, line, edge detection, etc., we would like to help Platform: |
Size: 187392 |
Author:qiuqiu |
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Description: Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等。
-Hough transform image processing image recognition from the basic geometry of one of the methods. The basic principle of Hough transform is to use point and line duality, the original image space, the curve of a given expression through the curve into a parameter space of a point. This put the original image in the detection of a given curve is transformed into a parameter space to find problems in the peaks. That is to detect the overall characteristics of transformation for the detection of local features. For example a straight line, ellipse, circle, arc and so on. Platform: |
Size: 24576 |
Author:王超 |
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Description: 基于DE2-70的摄像头图像处理程序，主要在边缘检测上增加了视线内黑线判断的功能-Based on the DE2-70 camera image-processing program, mainly in the edge detection increased the black line within the line of sight to determine the function Platform: |
Size: 6322176 |
Author:liliang |
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Description: Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等-Hough transform is image processing image recognition from the basic geometry of one of the methods. The basic principle of Hough transform is to use the duality of points and lines, the original image space, the curve given expression through the curve of the parameter space into a point. This put the original image in the detection of a given curve is transformed into a peak in the parameter space to find the problem. That is the test for the detection of the overall features into local features. Such as lines, ellipses, circles, arcs, etc.
Platform: |
Size: 148480 |
Author:丁海龙 |
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Description: 这是个图像处理的源代码，是本人自己编写的，实现的功能如下：
锐化、边沿检测：套用模版。另外还有一个自定义模版，供用户自行设计模版运行，从而实现其他功能，如线检测。
浮雕：本像素减相邻像素，再加一个常数得到的。
直方图均衡化则套用步骤，根据课本步骤来编写。
提取轮廓：若该点为黑点，八邻域也为黑点，则就把该点变白。
阈值分割分为固定阈值分割（即二值化）和动态阈值分割（切割若干子图，求均值，该均值即子图的阈值）。
区域生长：把种子和4邻域的点分别比较，两者之差小于阈值，且该4邻域点第一次出现，就把该点入队列。比较完毕后从队列提取像素点，继续进行上面操作，直到队列为空。
图像投影：先二值化，统计每一行（或每一列）黑点数目，向左（或向下）显示黑点
图像旋转：套公式，目标点跟源图像的点有对应的转换公式，可以实现任意角度旋转。
-This is a image processing source code is written in my own, to achieve the following functions:
Sharpening, edge detection: Apply template. There is also a custom template for users to run their own design template in order to achieve other functions, such as line detection.
Relief: the adjacent pixels by the pixels, plus a constant to get.
Histogram equalization is applied step, according to the steps to write textbooks.
Extracted contour: If the point of black spots, eight neighborhood for the black point, then put the white point.
Thresholding segmentation into a fixed threshold (ie, binary) and dynamic threshold segmentation (cutting a number of sub-graph, find the mean, mean that the sub-graph of the threshold value).
Regional growth: the seeds and 4 points respectively neighborhood comparison between the difference is less than the threshold, and the four neighboring points the first time, put the points into the queue. After comparing pixels extracted from the queue Platform: |
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Author:山外メ雲ジ |
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Description: 文章以胡柚为研究对象， 针对基于机器视觉的胡柚品质分拣生产线所涉及的关键技术进行理论和试验研
究，先对在传输带上运动的胡柚进行图像采集、图像分割、图像平滑、灰度化和锐化等一系列 的图像处理， 然后对处理后
的胡柚图像提取大小、颜色和缺陷的特征值，最后依据提取的特征参数进行大小、颜色和缺陷分级。 并以此为基础，研究
适合实时条件下的胡柚大小、形状、颜色及果品缺陷等品质指标的检测方法和分拣执行机构。- This paper takes grapefruit as the research object and conducts study on key technologies for quality sort-
ing grapefruit production line based on machine vision. The first step is to conduct the image processing for grapefruit
moving on the transmission belt such as image acquisition, image segmentation, image smoothing, gray and sharpening se-
ries of image processing, and then extracts characteristic values of the size, color and defects the processed images.
on this basis, it develops defect detection method and sorting actuators under the conditions that suit the real grapefruit
size, shape, color and fruit quality characteristics. Platform: |
Size: 620544 |
Author:李祥龙 |
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Description: 数字图像处理，边缘检测，霍夫变换求取直线，简单实用的实例，选择一个待处理图像，可直接运行，可修改后满足自己的需求-Digital image processing, edge detection, Hof transform to obtain a straight line, simple and practical examples, an image to be processed, can be directly run, can be modified to meet their needs Platform: |
Size: 1024 |
Author:苏斌 |
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Description: Straight line detection is still a challenging task in image processing. Though many methods have been put forward
before, most of them have some limitations. In this paper, we propose a novel method for straight line detection based on
chain codes. Different the former methods based on chain codes, this method doesn’t rely too much on the
Freeman’s criteria. A more robust and reasonable criterion is adopted for detection, and an algorithm is presented to
make this criterion works. Then we seek for a solution to the problem of corner points locating error that exists in all the
chain codes tracking methods. We also suggest a criterion for correcting corner points, and present a strategy which can
save computation time. The results show that our method has better performance than the traditional methods.
Keywords: straight line detection, corner points correction, chain codes-Straight line detection is still a challenging task in image processing. Though many methods have been put forward
before, most of them have some limitations. In this paper, we propose a novel method for straight line detection based on
chain codes. Different the former methods based on chain codes, this method doesn’t rely too much on the
Freeman’s criteria. A more robust and reasonable criterion is adopted for detection, and an algorithm is presented to
make this criterion works. Then we seek for a solution to the problem of corner points locating error that exists in all the
chain codes tracking methods. We also suggest a criterion for correcting corner points, and present a strategy which can
save computation time. The results show that our method has better performance than the traditional methods.
Keywords: straight line detection, corner points correction, chain codes Platform: |
Size: 230400 |
Author:Lamine |
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Search - image processing line detection